Variable Length Least Significant Bits Embedding

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  Abbas A. Jasim   |   

A novel hiding system is proposed in this work which is based on Least Significant Bits (LSB) embedding of information such as speech in grayscale images. The proposed hiding algorithm embeds the secrete information message bits in the least significant bits of the cover image pixels such that the number of secrete information bits to be embedded in the least significant bits of the cover image pixel is variable and determined randomly. So that cover image pixel may contain no secrete information bit, one bit, two bits, or three bits according to the pseudo-random number generator that generates integer numbers randomly between 0 and 3. The resulting image (the cover image within which the secret information is hidden) is called stego_ image. Stego_image is closely related to the cover image and does not show any details of the secret information. It ensures that the eavesdroppers will not have any suspicion that message bits are hidden in the image and standard steganography detection methods can not estimate the locations in which the secret message bits are embedded and can not estimate the locations in which the secrete information bits are hidden nor the number of bits embedded in over image. The proposed system achieves perfect reconstruction of the secret message.